Introduction: Despite the high prevalence of miscarriages, they are not systematically registered and few epidemiological studies have been done. As Finnish health registries are comprehensive and widely used in research, we validated the Finnish register data concerning diagnostics and treatment of miscarriage, and treatment-related adverse events.
Material And Methods: We conducted a validation study regarding miscarriage-related codes of diagnoses and surgical procedures in a Finnish National Hospital Discharge Registry (NHDR) by comparing the information from the NHDR with that of the hospital records. We selected a random sample of 4 months during 1998-2016 from three hospitals, comprising 687 women aged 15-49 experiencing a first miscarriage during follow-up. Women with diagnoses unrelated to miscarriage, or proven to be other than miscarriage, were excluded. The final sample consisted of 643 women with confirmed miscarriage, which was used for analyses regarding the diagnosis, treatment and adverse events of miscarriage treatment.
Results: The majority of miscarriages registered in the NHDR were confirmed by the hospital records (positive predictive value [PPV] = 93.6% [95% confidence interval [CI] 91.8%-95.4%]). Different types of miscarriage were also reliably identified; spontaneous abortion with PPV = 85.6% (95% CI 80.9%-89.2%), missed abortion with PPV = 92.7% (95% CI 88.8%-95.3%) and blighted ovum with PPV = 91.1% (95% CI 84.3%-95.1%). The PPV of surgical treatment (62.2% [95% CI 55.7%-68.3%]) was lower than the PPV of non-surgical treatment (93.3% [95% CI 90.5%-95.3%]). The diagnoses regarding adverse events of miscarriage treatment could be reliably identified. The PPV for clinical infections was 76.0% (95% CI 56.6%-88.5%) and for retained products of conception or/and vaginal bleeding 96.8% (95% CI 83.8%-99.4%).
Conclusions: The coverage of the NHDR was good concerning identification of miscarriages, different types of miscarriages and non-surgical treatment. Nevertheless, there is a need for clearly defined procedural codes concerning to medical treatment of miscarriage. The register-based data are reliable and practicable for both clinical evaluation and research concerning miscarriage.
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http://dx.doi.org/10.1111/aogs.14445 | DOI Listing |
EClinicalMedicine
October 2024
Centre for Psychedelic Research, Division of Psychiatry, Department Brain Sciences, Imperial College London, United Kingdom.
Background: Psilocybin therapy (PT) produces rapid and persistent antidepressant effects in major depressive disorder (MDD). However, the long-term effects of PT have never been compared with gold-standard treatments for MDD such as pharmacotherapy or psychotherapy alone or in combination.
Methods: This is a 6-month follow-up study of a phase 2, double-blind, randomised, controlled trial involving patients with moderate-to-severe MDD.
EClinicalMedicine
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University of North Carolina Project-China, Guangzhou, China.
Background: Adolescents (10-19 years old) have poor outcomes across the prevention-to-treatment HIV care continuum, leading to significant mortality and morbidity. We conducted a systematic review and meta-analysis of interventions that documented HIV outcomes among adolescents in HIV high-burden countries.
Methods: We searched PubMed, EMBASE, Scopus, and the Cochrane Library for studies published between January 2015 and September 2024, assessing at least one HIV outcome along the prevention-to-care cascade, including PrEP uptake, HIV testing, awareness of HIV infections, ARV adherence, retention, and virological suppression.
EClinicalMedicine
December 2024
Nottingham Digestive Diseases Centre (NDDC), Translational Medical Sciences, School of Medicine, University of Nottingham, NG7 2UH, UK.
Background: Despite the availability of various pharmacological and behavioural interventions, alcohol-related mortality is rising. This systematic review aimed to critically evaluate the existing literature on the association between glucagon-like peptide-1 receptor agonists use (GLP-1 RAs) and alcohol consumption.
Methods: Electronic searches were conducted on Ovid Medline, EMBASE, PsycINFO, clintrials.
Front Health Serv
December 2024
Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, United States.
Introduction: Clinicians are the conduits of high-quality care delivery. Clinicians have driven advancements in pharmacotherapeutics, devices, and related interventions and improved morbidity and mortality in patients with congestive heart failure over the past decade. Yet, the management of congestive heart failure has become extraordinarily complex and has fueled recommendations from the American Heart Association and the American College of Cardiology to optimize the composition of the care team to reduce the health, economic, and the health system burden of high lengths of stay and hospital charges.
View Article and Find Full Text PDFGiant cell arteritis (GCA), a systemic vasculitis affecting large and medium-sized arteries, poses significant diagnostic and management challenges, particularly in preventing irreversible complications like vision loss. Recent advancements in artificial intelligence (AI) technologies, including machine learning (ML) and deep learning (DL), offer promising solutions to enhance diagnostic accuracy and optimize treatment strategies for GCA. This systematic review, conducted according to the PRISMA 2020 guidelines, synthesizes existing literature on AI applications in GCA care, with a focus on diagnostic accuracy, treatment outcomes, and predictive modeling.
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